Abstract:This paper describes a Data Quality Framework and its application within a Data Quality Project for heterogeneous multi-database environments. The quality assessment of derived data was performed by considering data provenance and conflict resolution functions. A Data Quality Assessment tool provides information regarding the elements of derived non-atomic data values. The assessment and ranking of nonatomic data is possible by the specification of quality properties and priorities from users at any level of experience. Consequently, users are able to make effective decisions by trusting data according to the description of the conflict resolution function that was utilized for fusing data along with the quality properties of data ancestors.